MLOps

Why we included this project

Teams building an operational machine learning pipeline on Azure will find this collection from Microsoft one of the most direct places to start. The repository gathers end-to-end examples that carry a trained model through versioning, packaging, release, and deployment using Azure Machine Learning with Azure DevOps or GitHub Actions. The real value is the copyable scenario templates: working blueprints for CI/CD around models, scoring pipelines, and retraining loops that would otherwise take weeks to piece together from scattered docs. It also works as a gateway to newer material, since it links to the MLOps v2 accelerator and current official guidance, so you can run the older sample code and still move forward without getting stuck on deprecated patterns.